Job Description
📋 Description Design, develop, and deploy end-to-end ML/AI pipelines to production. Build data/ML pipelines for training, evaluation, and deployment; include LLM features. Evolve ML/LLMOps: versioning, production monitoring, reproducibility, improvement. Develop APIs/microservices to expose ML/AI models. Analyze large datasets; identify challenges; propose solutions; iterate quickly. Collaborate with Data, Product, and Engineering to scale prototypes into production. 🎯 Requirements Master's degree (or equivalent) in Computer Science, Applied Math, Data Science, or related field. 3-5 years of production ML model development and deployment experience. Proficient in Python; experience with scikit-learn, XGBoost, LightGBM, Transformers; SQL knowledge. Strong ML/LLMOps knowledge: MLflow, Kubeflow, DVC, DeepEval. Experience with cloud platforms (SageMaker/Azure ML/Vertex AI) and Docker/Kubernetes. English proficiency; bilingual in French. 🎁 Benefits Remote-friendly: one month per year from anywhere in Europe. Home office equipment support. Family Care Policy: paid days off for parental leave. Moka Care: free therapy or coaching sessions. No-Meeting Wednesday mornings. Health insurance, lunch vouchers, and 50% public transport reimbursement.
